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作 者:王钰 万润楠 孙睿 WANG Yu;WAN Runnan;SUN Rui(Electric Power Research Institute,State Grid Inner Mongolia East Electric Power Co.,Ltd.,Hohhot,Inner Mongolia Autunomous Region,028001 China)
出 处:《科技资讯》2024年第2期249-252,共4页Science & Technology Information
摘 要:在现代智能学习技术的发展背景下,变电站培训系统也在逐渐实现技术升级,而针对于传统系统与学员个性化学习需求所存在的不足之处,以智能化的自适应学习技术为研究基础,提出一种可以综合考虑用户模型有关特征,集合“教学、学习、联系、考核和评价”为一身的多种教学模式,依托于智能化与“互联网+”的智慧学习平台,旨在提升变电站运维人员的日常工作效率与质量以及处理紧急异常情况的工作能力,为个性化学习培训需求提供有效的仿真培训方案。In the context of the development of modern intelligent learning technology,the substation training system is also gradually upgrading its technology.However,in response to the shortcomings of traditional systems and personalized learning needs of students,this article takes intelligent adaptive learning technology as research basis,and proposes a variety of teaching modes that can comprehensively consider the relevant characteristics of user models and integrate"teaching,learning,connection,assessment and evaluation",which rely on the requirements of intelligent and"Internet+"intelligent learning platforms to provide effective simulation training programs for improving the daily work efficiency and quality of substation operation and maintenance personnel,as well as their working ability to deal with emergencies and abnormal situations and personalized learning and training needs.
分 类 号:TM74[电气工程—电力系统及自动化]
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